Auxiliary model based least squares parameter estimation algorithm for feedback nonlinear systems using the hierarchical identification principle

Journal of the Franklin Institute

Volumn 350, Issue 10, 2013, Pages 3248-3259

  Hu, Peipei ^a   Ding, Feng ^a,b   Sheng, Jie ^c  

^a JIANGNAN UNIVERSITY   (China)

^b QINGDAO UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

^c UNIVERSITY OF WASHINGTON   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

AUXILIARY MODEL IDENTIFICATION IDEAS; AUXILIARY MODELING; COMPUTATIONAL BURDEN; HIERARCHICAL IDENTIFICATION PRINCIPLE; LEAST SQUARES ESTIMATION ALGORITHMS; LEAST-SQUARES PARAMETER ESTIMATIONS; OUTPUT ERROR MODELS; RECURSIVE LEAST SQUARES ALGORITHMS;

ALGORITHMS;

NONLINEAR SYSTEMS;

EID: 84887321099     PISSN: 00160032     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jfranklin.2013.07.013     Document Type: Article

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